Text-to-Image
Diffusers
TensorBoard
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use pedrohsmoura/lora-brasilia-rank8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pedrohsmoura/lora-brasilia-rank8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("pedrohsmoura/lora-brasilia-rank8") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 5ecfb95f699e010b377e22360e17b7841810e7f026bc471759e59b2d749c5e50
- Size of remote file:
- 398 kB
- SHA256:
- e49192fbde0879a5174090f7b79dd4d30f36316376d9bb5897427f3c9f5dc18e
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